Answer:
Explanation:
Data analysis is a process used to explore, refine, modify, and model the data for finding useful information, making conclusions, and making decisions. Data analysis is a process used to obtain raw data and to make it more user-friendly by decision-making. The data is collected first, and then analyzed to answer questions, test hypotheses, or reject theories.
Descriptive analysis or statistics are one of the three basic parts of statistics science. It is the statistics about compiling, collecting, summarizing and analyzing numerical data. The main difference of descriptive statistics from inferential statistics or inductive statistics with more appropriate terms is that the goal of descriptive statistics is to express and summarize a data set as quantitative number values or count or sort values, and about the character of the statistical population that is accepted to represent such data as inferential statistics. is not the goal of obtaining analytical expressions for predictive or hypothesis testing. Even though the analysis of quantitative data is a study aimed at obtaining its main results using inductive statistical analysis, descriptive statistics tools must be used to support formal analysis. For example, a study involving a formal statistical analysis with topics of human behavior typically covers the overall sample size, sample size of important subgroups, average age, male / female ratios of people treated as data subject, and various demographic, social or clinical characters. supplied with tables.
Predictive analytics is a class of data analysis methods that focuses on predicting the future behavior of objects and subjects in order to make optimal decisions. Predictive analytics uses statistical methods, data mining methods, game theory, analyzes current and historical facts to make predictions about future events. In business, predictive models use patterns found in historical and executed data to identify risks and opportunities. Models capture relationships among many factors to make it possible to assess the risks or potential associated with a particular set of conditions, guiding decisions about possible transactions. It is used in actuarial calculations, financial services, insurance, telecommunications, retail, tourism, healthcare, pharmaceuticals and other fields. One of the well-known applications is credit scoring, scoring models process credit history, loans, consumer data and other information and provide an assessment of a potential borrower in terms of prospective solvency and forecast of timely payments on loans. One of the drawbacks of predictive analytics is the weak accounting for qualitative shifts, changes after bifurcation points, since they are built on quantitative, probabilistic methods.
The prescriptive analysis is the third and final phase of the business analysis. Extended prescriptive analysis beyond predictive analysis specifying both the actions necessary to achieve the predicted results and the related effects of decision. This phase of analysis uses the suggestions of the applications of mathematical and computational sciences to take advantage of the results of descriptive and predictive analyzes. Usually, in a first phase a descriptive analysis is made, widely used in the majority of today's business areas and it answers the question of what happened and why. Then a predictive analysis is done or should be done that answers the question of what will happen: historical data is combined with rules, algorithms and occasionally data external to the company or organization to determine a probable event. Finally, the prescriptive analysis phase which aims to recommend actions for the benefit of predictions and show their implications and why they will occur
A. $20,000
B. $15,060
C. $12,500
D. $10,000
Answer: $15,060
Explanation:
From the question, we are informed that Ben and Jerry were shareholders of Water Ice Inc., an S corp. On Jan. 1, 1998, Ben owned 40 shares and Jerry owned 60 shares.
We are further told that Ben sold his shares to Joe for $10,000 on March 31, 1998 and that the corp. reported a $50,000 loss at the end of 1998. The loss that will be allocated to Joe will be:
= $50,000 × 40% × 9/12
= $50,000 × 0.4 × 0.75
= $15,000
The closest figure we have close to that is $15,060 which is option B
Answer:
In simple words, implementation process refers to the stage under which the strategies and plans are converted into actions. This is one of the main stages as the overall result depends highly on this stage.
In this stage, the supervisor should make sure that the workers are giving their fullest for the job, are the resources needed to perform the job available in adequate quantity.
The best way to implement any strategy is to make short goals with short time periods and evaluate each phase if he team is performing up to the mark.
Answer: $0.60
Price per loaf: $2
Discount given for its bread at the end of the day= 70%
Solution:
Salvage value is the estimated resale value of a product at the end of its useful life. Since theuseful life of the loaf is 1 day and it was sold at the end of the day at 70%off, the salvage value is
$2 × (1 - 70%)
$0.60.
The salvage value of the bread from Bakery A at the end of the day, following a 70% discount, is $0.10 per loaf. This is calculated by subtracting the cost to make the bread ($0.50) from the discounted selling price ($0.60).
The salvage value of the bread from Bakery A can be calculated by subtracting the cost of production from the discounted selling price. The initial selling price of the bread is $2.00, and the cost to make a loaf is $0.50. However, at the end of the day, Bakery A gives a 70% discount on its bread. So, the discounted selling price is now 30% of the initial price, which is $2.00 * 0.30 = $0.60.
Given that the cost to make the bread is $0.50, the salvage value of the bread is the discounted selling price of $0.60 minus the cost to make the bread which is $0.50. So, the salvage value is $0.60 - $0.50 = $0.10.
#SPJ3
Answer:
A = $3136.51875
Explanation:
Given that :
The principal = $3,000.00
Rate = 9%
Time = 6 months
Since the amount is compounded quarterly;
r = 9/4 = 2.25 %
t = 6 months = 2 quarter
Using the formula:
A = P(1+r/100)^t
A = 3000.00(1+ 2.25/100)^2
A = 3000.00( 1+ 0.0225)^2
A = 3000.00 (1.0225)^2
A = 3000.00 (1.04550625)
A = $3136.51875
Answer:
C. the activity of matching supply of output with demand over the medium time range.
Explanation:
Aggregate Planning is the activity of matching supply of output with demand over the medium time range through the use of information gotten from the inventory levels.
This ultimately implies that, an aggregate planning is a strategic technique used by organizations to make an aggregate plan for its manufacturing (production) process typically ahead of time, in order to have an idea of the level of goods are to be produced and what resources are required so as to reduce the total cost of production to its barest minimum.
Hence, aggregate planning is an attempt to forecast consumer demands within the criteria set by product, production process and distribution methods i.e within the intermediate range of its capacity.
Answer:
Yes Rapid prototyping can be an efficient way to do instructional design. Rapid prototyping is an instructional design approach which combines design, developmental and evaluation process. it is also a non-linear approach.
Explanation:
As a non linear approach, Rapid prototyping produces a sample working model that is a scaled-down representative version of the whole course. Rapid prototyping can be seen as an alternate approach to the traditional instructional design.
Instructional design is defined as the systematic approach to the development of instruction through the use of analysis, design, development, implementation and Evaluation. Designers can make use of Rapid prototyping or rapid instructional design when they face these factores; Time, budget and Environmental restraints.
Rapid prototyping is a very practical model for blended learning development, especially when only one person is involved. Rapid prototyping allows for learning as even the instructional designer is learning too.